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of malignancies, blood disorders, and experimental therapies. Job Summary The Data Science, Analyst will will work to maintain and deploy algorithms for accurate detection, segmentation, and classification of cells
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of existing applications to meet specific scientific project needs; support the development of data models, databases or software applications; produce, present and discuss high quality data analysis reports
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scalable machine learning algorithms for a variety of research projects. Manages project teams and junior staff, leads task supervision and quality oversight. Works with partners to identify analytical
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of biomedical microscopy images. Train a machine learning (CNN) network to identify inflammation and damage patterns on H&E sections. Validate performance of algorithms on novel datasets. Properly version and
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responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group partners
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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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national supercomputing resources. The Office of Research oversees the conduct of sponsored research, research program development, and contract management functions. Job Summary The job develops software
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Department BSD CTD - Bioinformatics - Plan X About the Department The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop
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research group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group